This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation

The App aims at helping people to fight from depression and communicate with them at a 1-1 basis alongside giving them suggestions based on their choices which will be taken from the user in various formats such as MCQ for a one time basis and Diary entries of user on a daily basis. The app aims to help mainly people who are introvert and don't …

Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.

The objective of this project is to build a kNN-based recommender system in order to predict the top 5 movie based on a given movie, in this case "The Post". As there is no need for classification or regression, the nearestNeighbors model and neighrbors() method are used to find the 5 most closely related films.

Incremental recommender engine built with Golang & Redis.

A graph-based citation network for paper recommender engine

Cross modal, cross cultural, cross lingual, cross domain, and cross site global OER network

Recommender engine using SageMaker KMeans clustering for a CloudGuru challenge.

The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.

Tell-and-Show is a project for open recommendations that uses the AGPLv3 license to protect *data* and to consider said data as the source for machine learning models.

Filters books in lists and shelves, or makes recommendations based on your previous reads.

Content Based Movie Recommender

Multivariate stock price forecasting

Pick Me A Flick: A content filtering based Movie Recommendation Engine .

Link Prediction Recommendation System with Node2Vec

Concise summary of all major recommender algorithms and concepts

This repository provides some recommender engine models.

Learning Best Practices on Recommender Systems

Exploring Machine Learning methods to provide the best recommendation for Expedia

Build a small recommender engine based on both collaborative filtering and content based filtering. Data from an online retailer.